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Discriminant Analysis Procedures

• CANDISC — Performs a canonical discriminant analysis, computes squared Mahalanobis distances between class means, and performs both univariate and multivariate one-way analyses of variance
• DISCRIM — Develops a discriminant criterion to classify each observation into groups
• STEPDISC — Given a classification variable and several quantitative variables, the procedure performs a stepwise discriminant analysis to select a subset of the quantitative variables for use in discriminating among the classes

Discriminant Analysis

The SAS/STAT procedures for discriminant analysis fit data with one classification variable and several quantitative variables. The purpose of discriminant analysis can be to find one or more of the following: a mathematical rule for guessing to which class an observation belongs, a set of linear combinations of the quantitative variables that best reveals the differences among the classes, or a subset of the quantitative variables that best reveals the differences among the classes.

Below are highlights of the capabilities of the SAS/STAT procedures that perform discriminant analysis:

• discriminant analysis
• canonical discriminant analysis
• stepwise discriminant analysis

Statistics and Operations Research Home Page | SAS/STAT Software